Model Comparison
Gemini 3.1 Pro vs DeepSeek R1 Distill Qwen 32BWhich is better in 2026?
Gemini 3.1 Pro significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is 41.7x cheaper per token.
Verdict: Gemini 3.1 Pro vs DeepSeek R1 Distill Qwen 32B — which is better?
Gemini 3.1 Pro (by Google) and DeepSeek R1 Distill Qwen 32B (by DeepSeek) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Gemini 3.1 Pro outperforms in 1 benchmarks (GPQA), while DeepSeek R1 Distill Qwen 32B is better at 0 benchmarks. Gemini 3.1 Pro significantly outperforms across most benchmarks.
On price, DeepSeek R1 Distill Qwen 32B is roughly 41.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.1 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 3.1 Pro if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Feb 2026
Choose DeepSeek R1 Distill Qwen 32B if…
- cost matters — it's about 41.7x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.1 Pro outperforms in 1 benchmarks (GPQA), while DeepSeek R1 Distill Qwen 32B is better at 0 benchmarks.
Gemini 3.1 Pro significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 20.8x more expensive than DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens).
For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 83.3x more expensive than DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens).
In conclusion, Gemini 3.1 Pro is more expensive than DeepSeek R1 Distill Qwen 32B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.1 Pro accepts 1,048,576 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. DeepSeek R1 Distill Qwen 32B can generate longer responses up to 128,000 tokens, while Gemini 3.1 Pro is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Gemini 3.1 Pro supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B does not.
Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3.1 Pro
DeepSeek R1 Distill Qwen 32B
License
Usage and distribution terms
Gemini 3.1 Pro is licensed under a proprietary license, while DeepSeek R1 Distill Qwen 32B uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Gemini 3.1 Pro was released on 2026-02-19, while DeepSeek R1 Distill Qwen 32B was released on 2025-01-20.
Gemini 3.1 Pro is 13 months newer than DeepSeek R1 Distill Qwen 32B.
Feb 19, 2026
3 months ago
1.1yr newerJan 20, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while DeepSeek R1 Distill Qwen 32B's cutoff date is not specified.
We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 32B's cutoff date.
Jan 2025
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Provider Availability
Gemini 3.1 Pro is available from Google. DeepSeek R1 Distill Qwen 32B is available from DeepInfra.
Gemini 3.1 Pro
DeepSeek R1 Distill Qwen 32B
Outputs Comparison
Key Takeaways
Detailed Comparison
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FAQ
Common questions about Gemini 3.1 Pro vs DeepSeek R1 Distill Qwen 32B.